en.Wedoany.com Reported - On the eve of DTW Ignite 2026 in Copenhagen, Mavenir unveiled a framework and accompanying intent orchestrator designed to transform network operations knowledge into repeatable automated processes, helping operators reduce troubleshooting time and boost productivity.
At the core of the framework is an intent orchestrator that converts operators' desired outcomes into natural language or voice intents, powered by a multi-layer agent ecosystem. According to Mavenir, this orchestrator enables AI to detect, diagnose, recommend, and resolve network faults faster, accelerating the path to autonomous network operations.
Mavenir noted that the "multi-layer" and "multi-agent" design aims to address several challenges facing current network operations. Operations spanning 5G, cloud-native, and IP domains are costly and fragmented, becoming increasingly difficult to manage at scale. Traditional assurance tools often fail to diagnose root causes, while experienced engineers are becoming a scarce resource. The framework allows operators to capture expertise before it is lost and reuse it across multiple functions.
Bejoy Pankajakshan, Chief Technology and Strategy Officer at Mavenir, stated that every operator he speaks with faces the contradiction of increasing network complexity and the loss of operational expertise. Intent Ops directly addresses this contradiction by capturing the knowledge of top engineers, validating it, and making it available for autonomous and scalable use across the entire operations organization.
According to Mavenir, Intent Ops Knowledge Capture proactively learns from real-time Network Operations Center (NOC) team workflows and third-party vendor operations, then transforms validated human expertise into a continuously growing, vendor-neutral automation catalog. Additionally, AI-driven workflows cover deployment topology, application health, interface health, and service status to address the challenge of maintaining full operational control across geographically distributed cloud-native networks.
The framework is based on TM Forum standards IG1251 and IG1453, enabling L1 monitoring to L3 remediation in multi-vendor and multi-domain environments without replacing existing systems. By using pre-validated workflows before execution, each automated workflow is verified to ensure consistency, accuracy, and a complete audit trail. It can also integrate with existing OSS AI agents via an Agent-to-Agent protocol.
Mavenir views this launch as part of the journey toward autonomous networks, where AI not only flags issues but also helps resolve them. Andy Tiller, Executive Vice President of Member Products at TM Forum, stated that operators need practical pathways to achieve autonomous networks across complex multi-vendor environments. Intent-based operations and knowledge capture aligned with TM Forum frameworks help transform validated NOC expertise into scalable automation. Mavenir's approach demonstrates the direction the industry needs: open, standards-based autonomy that operators can trust.
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